Dragomir Anguelov

157 papers A* 46A 10B 1Misc 6Journal 78Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. IROS Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. CoRR Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. Trans. Mach. Learn. Res. Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan
2025	A	`conf`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. IROS Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models. CoRR Katie Luo, Jingwei Ji, Tong He, Runsheng Xu, Yichen Xie, Dragomir Anguelov, Mingxing Tan
2025	A*	`conf`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. CVPR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation. CoRR Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan
2025	J	`jnl`	Scaling Laws of Motion Forecasting and Planning - A Technical Report. CoRR Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff, Tim Shen, Cole Gulino, Chenjie Yang, Ghassen Jerfel, Dokook Choe, Rui Wang, Vinutha Kallem, Sergio Casas, Rami Al-Rfou, Benjamin Sapp, Dragomir Anguelov
2025	A*	`conf`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CVPR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2025	J	`jnl`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CoRR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2025	A*	`conf`	SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. CVPR Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. CoRR Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios. CoRR Runsheng Xu, Hubert Lin, Wonseok Jeon, Hao Feng, Yuliang Zou, Liting Sun, John Gorman, Kate Tolstaya, Sarah Tang, Brandyn White, Ben Sapp, Mingxing Tan, Jyh-Jing Hwang, Dragomir Anguelov
2024	J	`jnl`	EMMA: End-to-End Multimodal Model for Autonomous Driving. CoRR Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo, Dragomir Anguelov, Mingxing Tan
2024	A*	`conf`	LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
2024	A*	`conf`	MoST: Multi-modality Scene Tokenization for Motion Prediction. CVPR Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou
2024	J	`jnl`	MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou
2024	A*	`conf`	PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. ICRA Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024	J	`jnl`	PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. CoRR Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2024	A*	`conf`	SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout. NeurIPS Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
2024	J	`jnl`	SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout. CoRR Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
2024	A*	`conf`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. ICRA Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2023	J	`jnl`	3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels. CoRR Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels. CVPR Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	J	`jnl`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	A	`conf`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2023	A	`conf`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. IROS Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	J	`jnl`	LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. CoRR Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
2023	A*	`conf`	Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. ICRA Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2023	A*	`conf`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	J	`jnl`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	A*	`conf`	MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR Chiyu Max Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov
2023	J	`jnl`	MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. CoRR Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
2023	A*	`conf`	The Waymo Open Sim Agents Challenge. NeurIPS Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023	J	`jnl`	The Waymo Open Sim Agents Challenge. CoRR Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023	A*	`conf`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2023	J	`jnl`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2023	J	`jnl`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
2023	A*	`conf`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023	J	`jnl`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2022	—	`conf`	CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. ECCV (38) Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany L. Chen, Dragomir Anguelov
2022	J	`jnl`	CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. CoRR Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany L. Chen, Dragomir Anguelov
2022	A*	`conf`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
2022	J	`jnl`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
2022	J	`jnl`	GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
2022	J	`jnl`	HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. CoRR Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
2022	Misc	`conf`	HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. CoRL Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
2022	A	`conf`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	J	`jnl`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	J	`jnl`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2022	—	`conf`	Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	J	`jnl`	Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	Misc	`conf`	JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRL Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
2022	J	`jnl`	JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRR Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
2022	—	`conf`	LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
2022	J	`jnl`	LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
2022	J	`jnl`	LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
2022	J	`jnl`	LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. CoRR Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
2022	—	`conf`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	—	`conf`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	J	`jnl`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	A*	`conf`	Multi-Class 3D Object Detection with Single-Class Supervision. ICRA Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	J	`jnl`	Multi-Class 3D Object Detection with Single-Class Supervision. CoRR Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	—	`conf`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov
2022	A*	`conf`	MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
2022	J	`jnl`	NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
2022	J	`jnl`	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
2022	J	`jnl`	Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. IEEE Robotics Autom. Lett. Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov
2022	A*	`conf`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
2022	J	`jnl`	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
2022	—	`conf`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
2022	A*	`conf`	RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CVPR Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	J	`jnl`	RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CoRR Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	—	`conf`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	J	`jnl`	SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. CoRR Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
2022	A*	`conf`	StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. ICRA Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
2022	J	`jnl`	StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. CoRR Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
2022	A*	`conf`	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. ICRA Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022	J	`jnl`	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022	J	`jnl`	Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
2021	A*	`conf`	HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021	J	`jnl`	HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021	A*	`conf`	Identifying Driver Interactions via Conditional Behavior Prediction. ICRA Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
2021	J	`jnl`	Identifying Driver Interactions via Conditional Behavior Prediction. CoRR Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021	J	`jnl`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov
2021	J	`jnl`	MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
2021	A*	`conf`	Offboard 3D Object Detection From Point Cloud Sequences. CVPR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	J	`jnl`	Offboard 3D Object Detection from Point Cloud Sequences. CoRR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	A*	`conf`	RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. CVPR Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021	J	`jnl`	RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. CoRR Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021	A*	`conf`	Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	J	`jnl`	Revisiting 3D Object Detection From an Egocentric Perspective. CoRR Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	A*	`conf`	SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. ICCV Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
2021	J	`jnl`	SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. CoRR Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
2021	A*	`conf`	To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. CVPR Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2021	J	`jnl`	To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels. CoRR Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2020	—	`conf`	Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
2020	J	`jnl`	Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
2020	A*	`conf`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	J	`jnl`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	Misc	`conf`	Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRL Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2020	J	`jnl`	Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRR Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2020	A*	`conf`	STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CVPR Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li
2020	J	`jnl`	STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CoRR Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li
2020	A*	`conf`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2020	J	`jnl`	SoDA: Multi-Object Tracking with Soft Data Association. CoRR Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
2020	A*	`conf`	SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CVPR Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020	J	`jnl`	SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CoRR Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020	J	`jnl`	TNT: Target-driveN Trajectory Prediction. CoRR Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2020	Misc	`conf`	TNT: Target-driven Trajectory Prediction. CoRL Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2020	A*	`conf`	VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. CVPR Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid
2020	J	`jnl`	VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. CoRR Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid
2019	Misc	`conf`	End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRL Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019	J	`jnl`	End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRR Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019	Misc	`conf`	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019	J	`jnl`	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019	J	`jnl`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2018	A*	`conf`	PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. CVPR Danfei Xu, Dragomir Anguelov, Ashesh Jain
2017	A*	`conf`	3D Bounding Box Estimation Using Deep Learning and Geometry. CVPR Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka
2017	J	`jnl`	PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. CoRR Danfei Xu, Dragomir Anguelov, Ashesh Jain
2016	J	`jnl`	3D Bounding Box Estimation Using Deep Learning and Geometry. CoRR Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka
2016	—	`conf`	SSD: Single Shot MultiBox Detector. ECCV (1) Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg
2016	A	`conf`	Self-taught object localization with deep networks. WACV Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani
2015	A*	`conf`	Going deeper with convolutions. CVPR Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2015	J	`jnl`	SSD: Single Shot MultiBox Detector. CoRR Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg
2015	—	`conf`	Self-informed neural network structure learning. ICLR (Workshop) David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov
2015	—	`conf`	Training Deep Neural Networks on Noisy Labels with Bootstrapping. ICLR (Workshop) Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich
2014	A*	`conf`	Capturing Long-Tail Distributions of Object Subcategories. CVPR Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan
2014	J	`jnl`	Going Deeper with Convolutions. CoRR Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2014	A*	`conf`	Scalable Object Detection Using Deep Neural Networks. CVPR Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
2014	J	`jnl`	Scalable, High-Quality Object Detection. CoRR Christian Szegedy, Scott E. Reed, Dumitru Erhan, Dragomir Anguelov
2014	J	`jnl`	Self-taught Object Localization with Deep Networks. CoRR Alessandro Bergamo, Loris Bazzani, Dragomir Anguelov, Lorenzo Torresani
2013	J	`jnl`	A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets CoRR Daphne Koller, Uri Lerner, Dragomir Anguelov
2013	J	`jnl`	Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots CoRR Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
2013	J	`jnl`	Scalable Object Detection using Deep Neural Networks. CoRR Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
2012	J	`jnl`	Recovering Articulated Object Models from 3D Range Data CoRR Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
2010	J	`jnl`	Google Street View: Capturing the World at Street Level. Computer Dragomir Anguelov, Carole Dulong, Daniel Filip, Christian Früh, Stéphane Lafon, Richard Lyon, Abhijit S. Ogale, Luc Vincent, Josh Weaver
2010	A*	`conf`	High quality pose estimation by aligning multiple scans to a latent map. ICRA Qi-Xing Huang, Dragomir Anguelov
2010	A	`conf`	Hybrid hessians for flexible optimization of pose graphs. IROS Matthew Koichi Grimes, Dragomir Anguelov, Yann LeCun
2008	B	`conf`	Markov random field models for hair and face segmentation. FG Kuang-Chih Lee, Dragomir Anguelov, Baris Sumengen, Salih Burak Göktürk
2007	A*	`conf`	Contextual Identity Recognition in Personal Photo Albums. CVPR Dragomir Anguelov, Kuang-Chih Lee, Salih Burak Göktürk, Baris Sumengen
2006	—	`—`	Learning models of shape from 3D range data. Dragomir Anguelov
2006	—	`conf`	Object Pose Detection in Range Scan Data. CVPR (2) Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller
2005	—	`conf`	Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. CVPR (2) Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng
2005	J	`jnl`	SCAPE: shape completion and animation of people. ACM Trans. Graph. Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis
2004	A*	`conf`	Detecting and Modeling Doors with Mobile Robots. ICRA Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun
2004	A	`conf`	Recovering Articulated Object Models from 3D Range Data. UAI Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
2004	—	`conf`	The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. NIPS Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis
2002	A	`conf`	Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots. UAI Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
2000	A*	`conf`	Mining the stock market (extended abstract): which measure is best? KDD Martin Gavrilov, Dragomir Anguelov, Piotr Indyk, Rajeev Motwani
1999	A	`conf`	A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI Daphne Koller, Uri Lerner, Dragomir Anguelov